Save hours, perhaps days, of manual effort required to transcribe volumes of audios and videos to make them more inclusive, accessible, searchable and documented. Convert speech to text to provide automatically generated transcription and closed captioning with all video and audios for improved video accessibility. This has far-reaching applications in the enterprise, primarily for making all audio and video communication, training or sales videos, and customer service calls, etc. highly searchable to the spoken words, and to turn video or voice communications into structured data for analysis.
Such data can then be analyzed for efficient monitoring, flagging, or feedback purposes as well as to derive actionable insights to improve communications and personalize experiences. Not only this, firms in highly specialized sectors like legal professions, financial services, healthcare and education that produce large volumes of manual documentation with a lot of similar industry jargon can also use speech AI to dictate information without having to type, while the learning machine becomes more and more accurate with frequent use. Speech recognition also has wide scale applications for people across enterprises with speech disabilities.